What is NOFire AI?
NOFire AI maps every change in your production, by a human or by an agent, and hands you the one that broke it, with the proof. Observability tools show you what happened. NOFire AI maps how your services connect and what changed in them, so an investigation starts from the change that broke production, not from a dashboard.The problem
Every engineering team faces these reliability challenges: Root cause depends on who is on call. Senior SREs hold the context in their heads. Everyone else searches dashboards for it. You find out deployments were risky after they break production. No way to assess impact before merging. Rollbacks, hotfixes, and customer escalations follow. Post-incident analysis takes hours. Correlating logs, metrics, traces, and changes across tools. Documenting what happened feels like forensic reconstruction. Same failures repeat. Knowledge lives in people’s heads or stale runbooks. When key engineers leave or are unavailable, incidents take longer and teams make the same mistakes.About NOFire AI
NOFire AI answers why something is happening, from the map of your services and the changes to them.Prevent
See what a change will break before it reaches production. Maps blast radius, flags risk, and recommends the right deployment strategy.
Resolve
Find the change that broke it. Every claim links to the deploy, log line, or trace it came from, and rejected theories stay listed.
Learn
Every investigation, every interaction, every resolved incident feeds back into the system. Future answers get better without anyone writing a runbook.
How NOFire AI works
At the core of NOFire AI is the production map: a live, time-versioned record of your services, their dependencies, every change to them, and how they affect each other. You can reconstruct it at any point in time, so investigations always reflect the actual state when an incident happened.The foundation: NOFire AI Edge
NOFire AI Edge is a lightweight Kubernetes agent that starts the graph. It watches your clusters, discovers service relationships through DNS traffic, and tracks every deployment, scaling event, and configuration change.The Graph grows with every integration
The production map starts with Kubernetes, and it gets richer as you connect more sources:
Each connection adds more change history and more signals to the production map. The more you connect, the more of your system an investigation can reach.
How NOFire uses the Graph
When an incident happens, NOFire traces the real dependency chains on the map to find the change that caused it, not just a correlation. For deployments, it analyzes the blast radius based on how services connect. Every answer is grounded in the production map and your connected observability tools. You interact with NOFire in plain language, in your IDE, Slack, or web dashboard.Gets better with every interaction
NOFire does not start from scratch each time. It accumulates operational knowledge from everything that happens in your environment:- Investigations: every root cause analysis builds a record of what broke, why, and what fixed it. The next time a similar pattern appears, NOFire has that context.
- Change history: which deployments caused problems, which services are fragile after changes, which code paths are incident hotspots.
- Conversations: questions your team asks, follow-ups during incidents, and the reasoning paths that led to answers.
Key capabilities
Deployment risk
See which services your changes affect and get a risk score before deployment. Clear deployment strategy recommendations.
Root cause analysis
Trace an incident to its root cause through the real service relationships in your infrastructure.
Alerts
When an alert fires, NOFire AI starts the investigation on its own and posts its findings with a confidence score. Between incidents, audit and clean up your alert rules.
Service health
Ask how a service is doing and get a live metrics view with health status, directly in chat.
NOFire AI Edge
Automatic discovery of service dependencies from your Kubernetes infrastructure. Always up-to-date, no manual configuration.
Change management
Track infrastructure and application changes over time. Correlate incidents with deployments, configuration changes, and infrastructure updates.
How to use NOFire AI
NOFire AI integrates directly into your workflow:NOFire AI Edge (Foundation)
NOFire AI Edge (Foundation)
The Kubernetes agent that powers everythingDeploy NOFire AI Edge in your Kubernetes clusters to build the production map. Edge is what makes the following possible:
- Root cause analysis through real service relationships
- Deployment risk assessment before you merge
- Automatic dependency discovery
- Change tracking and correlation
MCP Integration (IDE)
MCP Integration (IDE)
Connect NOFire AI to your IDE via Model Context Protocol (MCP). Get deployment risk analysis and query production directly in Cursor, Claude Desktop, or any MCP-compatible tool.Best for:
- Pre-deployment risk assessment while coding
- Production operational queries during development
- Incident investigation from your IDE
Slack Bot
Slack Bot
Embed NOFire AI in Slack for collaborative incident response. Mention @NOFireAI bot to investigate alerts, query production, and get team-wide visibility.Best for:
- Team collaboration during incidents
- Alert triage and analysis
- Operational knowledge sharing
Web Dashboard
Web Dashboard
Full-featured dashboard for incident investigations, deployment analysis, session history, and configuration management.Best for:
- Detailed incident investigations
- Configuration and connection setup
- Historical analysis and reporting
Observability Stack Integration
Observability Stack Integration
Connect your existing observability tools (Grafana, Prometheus, Loki, Tempo, Datadog) to enrich investigations with telemetry data.Setup: Provide API tokens and data source URLs. Read-only access required.Note: NOFire AI Edge is recommended for a complete production map. Observability integrations alone provide telemetry access but not dependency mapping.